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Dynamic programming is a method for solving complex problems by breaking them down into simpler subproblems in a recursive manner. It is particularly useful for optimization problems where the solution can be constructed from solutions to smaller instances of the same problem. The key idea behind dynamic programming is to store the results of subproblems to avoid redundant computations, a technique known as "memoization.